ArticlePLoS computational biology2019
Energy-efficient information transfer at thalamocortical synapses.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 35 citations in OpenAlex.
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- Emergence and fragmentation of the alpha-band driven by neuronal network dynamics.PLoS computational biology · 2021Article
- Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma.eLife · 2021Article
- Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network.Scientific reports · 2021Article
- Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data.PLoS computational biology · 2021Article
- Information Processing in the Brain as Optimal Entropy Transport: A Theoretical Approach.Entropy (Basel, Switzerland) · 2020Article
- The effect of inhibition on rate code efficiency indicators.PLoS computational biology · 2019Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
We have previously shown that the physiological size of postsynaptic currents maximises energy efficiency rather than information transfer across the retinothalamic relay synapse. Here, we investigate information transmission and postsynaptic energy use at the next synapse along the visual pathway: from relay neurons in the thalamus to spiny stellate cells in layer 4 of the primary visual cortex (L4SS). Using both multicompartment Hodgkin-Huxley-type simulations and electrophysiological recordings in rodent brain slices, we find that increasing or decreasing the postsynaptic conductance of the set of thalamocortical inputs to one L4SS cell decreases the energy efficiency of information transmission from a single thalamocortical input. This result is obtained in the presence of random background input to the L4SS cell from excitatory and inhibitory corticocortical connections, which were simulated (both excitatory and inhibitory) or injected experimentally using dynamic-clamp (excitatory only). Thus, energy efficiency is not a unique property of strong relay synapses: even at the relatively weak thalamocortical synapse, each of which contributes minimally to the output firing of the L4SS cell, evolutionarily-selected postsynaptic properties appear to maximise the information transmitted per energy used.
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